The neglected sociobehavioral risk factors of low birth weight

سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 110

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شناسه ملی سند علمی:

JR_JSDI-1-3_002

تاریخ نمایه سازی: 9 آبان 1401

چکیده مقاله:

Background: Low Birth Weight (LBW) is one of the most important health indicators in the world. It has certain known and unknown causes. The present study was designed to evaluate the role of socio-behavioral factors on neonatal birth weight.Methods: The current case-control study was conducted on ۳۰۰ eligible neonates (۱۵۰ LBW infants as cases and ۱۵۰ normal body weight infants as controls) in ۲۰۱۵. The national pregnancy care forms of the neonates kept in heath care centers in Kerman were used. The data was analyzed running Independent samples t-test, Chi square test, and Fisher’s Exact test in SPSS. The significance level was set as ۰.۰۵.Results: Preterm birth (P<۰.۰۰۱), number of primary care during pregnancy (P=۰.۰۰۱), mother’s age (P=۰.۰۴۹), consumption of supplements during pregnancy (P=۰.۰۳), and history of substance abuse in mothers (P=۰.۰۳) were found to have significant roles in having LBW neonate.Conclusion: Identifying the sociobehavioral risk factors of Preterm labor and modifying them to prevent preterm birth are essential approaches to prevent LBW. Governments should pay special attention to nutritional status of teenage and young girls to have healthy mothers and babies in the future. Women of childbearing age should be screened and educated about risky behaviors. Pregnancy care and support should be delivered to all pregnant women according to the standard methods.

نویسندگان

Mohsen Momeni

Assistant Professor of Community Medicine, Social Determinants of Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Rudabeh Esfandyarpour

General Physician, Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

Mina Danaei

Assistant Professor of Community Medicine, Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran